First of all, we explore the supervised object detection networks. For example, Faster-RCNN[1]} predicts whether each pixel position on the feature map is an object through Region Proposal Network (RPN), and then predicts the category of the object region. YOLO[2]}[3]} and RetinaNet[4]} complete the prediction of position and category through an overall network. The above methods all learn the region of the object from the manual annotation, and complete the identification for the region of the object.
